code: def reset_parameters(self):
      nn.init.xavier_uniform_(self.weight)
      if self.has_bias:
          nn.init.constant_(self.bias, 0.0)
  
file_path: pytext/pytext/models/seq_models/light_conv.py
imports: from typing import Dict, Optional
  import torch.jit
  import torch.nn
  from pytext.config import ConfigBase
  from torch import Tensor
  from .base import PyTextIncrementalDecoderComponent
  from .utils import unfold1d
label_desc: Use image node_id 3 for calling the LightweightConv obj's underlying member method code with example usage: obj.reset_parameters() without return types